Kira Evans
Software Engineer, Science at Chan Zuckerberg Initiative
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolKira Evans is a software engineer at the Chan Zuckerberg Initiative with nine years of experience building open-source scientific software and tooling that bridges research and usable applications. She helped architect and core-develop napari, a high-performance multi-dimensional image viewer used across the scientific Python ecosystem, and has made substantive contributions to Vispy and scikit-image focused on visualization, image layout, filters, and robust test coverage. Comfortable across full-stack development, computer vision and HCI, she blends strong program-design fundamentals with practical ML and web skills to deliver polished, user-facing scientific tools. Based in Melbourne, she’s an outspoken open-source advocate who pairs deep technical refactors with thoughtful UX improvements—showing a knack for making complex image-processing systems accessible without code.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at The Webb SchoolsHigh School Supplement, High School Supplement at Harvey Mudd CollegeFormer BSc candidate, Data Science (Major), Biology (Minor), Former BSc candidate, Data Science (Major), Biology (Minor) at Northeastern University
Github Skills (16)
unit-testing10
uid10
computer-vision10
visualization10
ui-design10
qt10
opengl10
python10
visualizations10
unit-test10
morphology10
image-processing10
front-end-development10
numpy10
testing10
Programming languages (9)
Github contributions (5)
scikit-image/scikit-image
Jul 2017 - Jun 2018
Image processing in Python
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:47 commits, 21 PRs, 104 comments in 11 months
Contributions summary:Kira focused on enhancing the functionality of the scikit-image library, specifically within the morphology and measure modules. Their contributions included adding handling for uniform arrays when finding local extrema, implementing new functions related to moments calculation, and expanding the test suite to cover these new features. Additionally, they made improvements to documentation for existing functions, improving clarity and usability of the library's API.
image-processingpythoncomputer-visionimage
vispy/vispy
Sep 2018 - Mar 2019
Main repository for Vispy
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:8 commits, 3 PRs, 13 comments in 5 months
Contributions summary:Kira primarily contributed to the Vispy project by modifying and refactoring filter functionalities within the scene/visuals.py file. Their work included replacing ColorFilter for opacity with the Alpha filter and implementing a base filter class. Additionally, the user improved filter functionality by re-implementing most filters to subclass the base filter. These changes seem to improve the structure and maintainability of the code.
openglvispypythonvisualization
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